{companies.map((company) => (
-
diff --git a/website/src/lib/constants.ts b/website/src/lib/constants.ts
index 465dbc656..7ff6730da 100644
--- a/website/src/lib/constants.ts
+++ b/website/src/lib/constants.ts
@@ -3,7 +3,7 @@ export const BASE_PATH = process.env.NEXT_PUBLIC_BASE_PATH || "";
export const GITHUB_REPO = "https://github.com/apache/burr";
export const DOCS_URL = "/docs";
export const DISCORD_URL = "https://discord.gg/6Zy2DwP4f3";
-export const TWITTER_URL = "https://x.com/buraborr";
+export const TWITTER_URL = "https://x.com/burr_framework";
export const NAV_LINKS = [
{ label: "Features", href: "#features" },
@@ -66,46 +66,60 @@ export const INTEGRATIONS = [
export const TESTIMONIALS = [
{
- name: "Alex Johnson",
- title: "ML Engineer",
- company: "Acme Corp",
+ name: "Ashish Ghosh",
+ title: "CTO",
+ company: "Peanut Robotics",
+ logo: "https://www.google.com/s2/favicons?domain=peanutrobotics.com&sz=64",
quote:
- "Burr completely changed how we build AI agents. The state management and observability are game-changers for production systems.",
+ "After evaluating several other obfuscating LLM frameworks, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making.",
},
{
- name: "Sarah Chen",
- title: "Staff Engineer",
- company: "TechFlow",
+ name: "Ishita",
+ title: "Founder",
+ company: "Watto.ai",
+ logo: "https://www.google.com/s2/favicons?domain=watto.ai&sz=64",
quote:
- "We moved from a tangled mess of LangChain callbacks to clean, testable Burr actions. Our team velocity doubled.",
+ "Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging a piece of cake. And the always ready to help team is the cherry on top.",
},
{
- name: "Marcus Rivera",
- title: "CTO",
- company: "DataPilot",
+ name: "Matthew Rideout",
+ title: "Staff Software Engineer",
+ company: "Paxton AI",
+ logo: "https://www.google.com/s2/favicons?domain=paxton.ai&sz=64",
+ quote:
+ "I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI.",
+ },
+ {
+ name: "Rinat Gareev",
+ title: "Senior Solutions Architect",
+ company: "Provectus",
+ logo: "https://www.google.com/s2/favicons?domain=provectus.com&sz=64",
quote:
- "The Burr UI alone is worth it. Being able to replay and debug agent runs saved us countless hours of debugging.",
+ "Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that.",
},
{
- name: "Priya Patel",
- title: "AI Engineer",
- company: "NeuralWorks",
+ name: "Hadi Nayebi",
+ title: "Co-founder",
+ company: "CognitiveGraphs",
+ logo: null,
quote:
- "Human-in-the-loop was trivial to add with Burr. We went from prototype to production approval workflow in a day.",
+ "I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors.",
},
{
- name: "David Kim",
- title: "Senior Developer",
- company: "CloudScale",
+ name: "Aditya K.",
+ title: "DS Architect",
+ company: "TaskHuman",
+ logo: `${BASE_PATH}/logos/taskhuman.svg`,
quote:
- "Pure Python, no magic, no hidden abstractions. Burr lets us build exactly what we need without fighting the framework.",
+ "Moving from LangChain to Burr was a game-changer! It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. I pitched Burr to my teammates, and we pivoted our entire codebase to it.",
},
{
- name: "Emma Wilson",
- title: "Tech Lead",
- company: "Subreddit",
+ name: "Reddit User",
+ title: "Developer",
+ company: "r/LocalLlama",
+ logo: null,
quote:
- "Persistence and replay are incredible for debugging complex multi-step agents. Burr makes the hard parts easy.",
+ "Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from code-to-prod, we've been doing LLM apps for two years, and the answer is no. Honestly, take a look at Burr. Thank me later.",
},
];
- {company.charAt(0)}
+ 
{
+ const target = e.currentTarget;
+ target.style.display = "none";
+ const fallback = target.nextElementSibling as HTMLElement;
+ if (fallback) fallback.style.display = "flex";
+ }}
+ />
+
))}
+ {company.name.charAt(0)}
- {company}
+ {company.name}